Senior Data Engineer

Luxoft Poland; Poland; On-site; PLN 387,000 - 559,000; Full time

Benefits offered by this job

Private Medical & Dental care

Life Insurance

Internal Mobility program

Rotation between projects/locations

Job summary

Luxoft Poland is seeking aSenior Data Engineer based in Düsseldorf to advance IT data integrations across Syndigo and legacy systems. The role focuses on building scalable data pipelines, ensuring data quality, and supporting production stability while collaborating across European projects.

The candidate should bring 8+ years in data engineering, strong Python/SQL skills, and experience with Confluent Kafka. Prior exposure to data governance and syndigo is advantageous.

Qualifications

• 8+ years of experience in Data Engineering.
• Experience with CI/CD tools (Bitbucket, Jenkins).
• Proficiency in Python and SQL; working knowledge of Confluent Kafka.

Responsibilities

• Take ownership in the development of technical integration across Syndigo, legacy and downstream interfaces.
• Ensure data quality and mapping consistency between inbound source files and outbound update messages.
• Support production stability through monitoring, alerting, and dead-letter queue handling.
• Build a maintainable and scalable solution for initial load and ongoing update flows.

Skills

Data Engineering

CI/CD

Python

SQL

Confluent Kafka

Syndigo

Data governance

Communication

Ownership

Problem-solving

Tools

Bitbucket

Jenkins

Job description

Private Medical & Dental care & Life Insurance

Internal Mobility program - possibility of rotation between projects, locations, accounts

Project Description

We are seeking a Senior Data Engineer to join our Client's IT system house and European data center. Based in Düsseldorf, it supports the retail by providing IT services and developing IT solutions on an international level for the Client in Europe.

Responsibilities

• Take shared ownership in the development of the technical integration across Syndigo , legacy and downstream interfaces.
• Ensure data quality and mapping consistency between inbound source files and outbound update messages.
• Support production stability through monitoring, alerting, and dead-letter queue handling
• Build a maintainable and scalable solution that supports both initial load and ongoing update flows

Skills

What is relevant to have

• 8+ years of experience in Data Engineering
• CI/CD (Bitbucket, Jenkins)
• Python
• SQL
• Confluent Kafka
• Solid understanding of data flows, interfaces, mappings, and production support considerations
• Experience with data governance and master data management (Syndigo) is a strong advantage
• Clear communication
• Ownership
• Problem-solving

What is nice to have

• AWS certificates
• Prior experience in the fashion retail industry